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Mobility Restrictions and Alcohol Use during Lockdown: “A Still and Dry Pandemic for the Many"?

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  • Martina Celidoni
  • Joan Costa-i-Font
  • Luca Salmasi

Abstract

Unexpected mobility disruptions during lockdown during the first wave of COVID-19 became ‘tipping points’ with the potential to alter pre-pandemic routines sensitive to socialisation. This paper investigates the impact of lockdown exposure on alcohol consumption. We document two findings using information from the Google Mobility Report and longitudinal data from the Understanding Society in the United Kingdom. First, we find a sharp reduction in both actual mobility and alcohol use (consistent with a “still and dry pandemic for the many” hypothesis). However, we document an increase in alcohol use among heavy drinkers, implying a split behavioural response to COVID-19 mobility restrictions based on alcohol use prior to the pandemic. Second, using the predictions of the prevalence-response elasticity theory, we find that the pandemic’s reduction in social contacts is responsible for a 2.8 percentage point reduction in drinking among men.

Suggested Citation

  • Martina Celidoni & Joan Costa-i-Font & Luca Salmasi, 2023. "Mobility Restrictions and Alcohol Use during Lockdown: “A Still and Dry Pandemic for the Many"?," CESifo Working Paper Series 10527, CESifo.
    • Handle: RePEc:ces:ceswps:_10527
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    References listed on IDEAS

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    1. Tomas Philipson, 1996. "Private Vaccination and Public Health: An Empirical Examination for U.S. Measles," Journal of Human Resources, University of Wisconsin Press, vol. 31(3), pages 611-630.
    2. Battiston, Pietro & Gamba, Simona, 2021. "COVID-19: R0 is lower where outbreak is larger," Health Policy, Elsevier, vol. 125(2), pages 141-147.
    3. Damian Clarke & Kathya Tapia-Schythe, 2021. "Implementing the panel event study," Stata Journal, StataCorp LP, vol. 21(4), pages 853-884, December.
    4. Oster, Emily, 2012. "HIV and sexual behavior change: Why not Africa?," Journal of Health Economics, Elsevier, vol. 31(1), pages 35-49.
    5. Pietro Battiston & Simona Gamba, 2020. "COVID-19: R0 is lower where outbreak is larger," Working Papers 438, University of Milano-Bicocca, Department of Economics, revised Apr 2020.
    6. Avner Ahituv & V. Joseph Hotz & Tomas Philipson, 1996. "The Responsiveness of the Demand for Condoms to the Local Prevalence of AIDS," Journal of Human Resources, University of Wisconsin Press, vol. 31(4), pages 869-897.
    7. Fenichel, Eli P., 2013. "Economic considerations for social distancing and behavioral based policies during an epidemic," Journal of Health Economics, Elsevier, vol. 32(2), pages 440-451.
    8. Heckman, J.J. & Smith, J.A., 1995. "Ashenfelter's Dip and the Determinants of Participation in a Social Program: Implications for Simple Program Evaluation Strategies," University of Western Ontario, Departmental Research Report Series 9505, University of Western Ontario, Department of Economics.
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    More about this item

    Keywords

    health behaviours; lockdown; mobility restrictions; alcohol use; routines; mobility; difference in differences; COVID-19;
    All these keywords.

    JEL classification:

    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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